Search Results for "python data analysis"
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Showing 40 open source projects for "python data analysis"
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Elasticsearch
A Distributed RESTful Search Engine
Elasticsearch is a distributed, RESTful search and analytics engine that lets you store, search and analyze with ease at scale. It lets you perform and combine many types of searches; it scales seamlessly, and offers answers incredibly fast with search results you can rank based on a variety of factors. Elasticsearch can be used for a wide variety of use cases, from maps and metrics to site search and workplace search, and with all data types. -
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fluentbit
Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX
Fluent Bit is a super-fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments. A robust, lightweight, and portable architecture for high throughput with low CPU and memory usage from any data source to any destination. Proven across distributed cloud and container environments. Highly available with I/O handlers to store data for disaster recovery. Granular management of data parsing and routing.... -
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Serilog
Simple .NET logging with fully-structured events
Like many other libraries for .NET, Serilog provides diagnostic logging to files, the console, and elsewhere. It is easy to set up, has a clean API, and is portable between recent .NET platforms. Unlike other logging libraries, Serilog is built with powerful structured event data in mind. Serilog message templates are a simple DSL extending .NET format strings. Parameters can be named, and their values are serialized as properties on the event for incredible searching and sorting... -
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Logbook
An extensible Java library for HTTP request and response logging
Logbook is an extensible Java library to enable complete request and response logging for different client- and server-side technologies. It satisfies a special need by a) allowing web application developers to log any HTTP traffic that an application receives or sends b) in a way that makes it easy to persist and analyze it later. This can be useful for traditional log analysis, meeting audit requirements or investigating individual historic traffic issues. Logbook is ready to use out of... -
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DBD2
A multi-threaded, multi-database tcp-based database insertion app.
DBD2 inserts database records from TCP input. It is a companion project to Syslgod2 and an application in its own right. It ships with a backgrounding client for generic use. The client sends whatever information the user puts on the command-line to the back-end daemon via TCP. Upon successful transmission, the client exits. On failure, it backs off and retries until its life-time timer expires. The back-end daemon accepts data from Syslogd2 or its own client and inserts that data... -
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SageMaker Experiments Python SDK
Experiment tracking and metric logging for Amazon SageMaker notebooks
Experiment tracking in SageMaker Training Jobs, Processing Jobs, and Notebooks. SageMaker Experiments is an AWS service for tracking machine learning Experiments. The SageMaker Experiments Python SDK is a high-level interface to this service that helps you track Experiment information using Python. Experiment tracking powers the machine learning integrated development environment Amazon SageMaker Studio. Experiment: A collection of related Trials. Add Trials to an Experiment that you wish to compare together. Trial: A description of a multi-step machine learning workflow. ... -
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Cinemagoer
Python package to retrieve and manage data of the IMDb
Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies. Platform-independent, it can retrieve data from both the IMDb's web server and a local copy of the whole db. -
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Autologging
Easier logging and tracing of Python functions and class methods.
Autologging eliminates boilerplate logging setup code and tracing code, and provides a means to separate application logging from program flow and data tracing. Autologging provides two decorators and a custom log level: "autologging.logged" decorates a class to create a __log member. By default, the logger is named for the class's containing module and name (e.g. "my.module.ClassName"). "autologging.traced" decorates a class to provide automatic CALL/RETURN tracing for all class, static, and instance methods, as well as the special __init__ method (by default) "autologging.TRACE" is a custom log level (lower than logging.DEBUG) that is registered with the Python logging module when autologging is imported -
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SSL Logger
Decrypts and logs a process's SSL traffic
ssl_logger is a Python-based tool that decrypts and logs a target process’s SSL/TLS traffic on Linux and macOS. It attaches to a running process by name or PID and hooks SSL_read and SSL_write calls to capture plaintext data flowing through encrypted connections. Output can be streamed to the console with verbose metadata or written to a PCAP file for later analysis in standard tooling. -
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log4j parser
Turn log4j or similar logfiles into a Python list object
Called from command line, this python program counts the lines in your logfile with ERROR, INFO, WARN etc. You can also import the function generate_log_report from it and use the returned list object in your Python program for further processing. -
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Plinko was originally an experiment with Prefix Trees and log parsing. The general concept is to have a single end point you can send any data to, in a "fire and forget" fashion. Plinko should identify and parse the data completely without the sending system caring what it sent. The latest version supports named fields in the STL files for tagging data parsed in the Prefix Tree and anonymous functions for parsing dynamic message payloads. We now output JSON objects and I'm working on HBase...
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SquidCube
Squid log data warehouse
Feed Squid logs into PostgreSQL database, then use Pentaho BI server for data mining. -
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Honeyd2MySQL
Utility to move honeyd.log entries to a MySQL database.
This is yet another simple piece of software that extracts all the basic stats from honeyd’s text-based log files and inserts them in a MySQL database. Then you can run some queries and of course visualize the data if you want to. Many things are hardcoded or dead simple, but it does the job. The file is a modified version of “honeyd_importer” perl script originally writen by Joshua Gimer and shared through “honeypots” mailing list. -
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LOGalyze CLI
Command line client interface for LOGalyze 4
Command line LOGalyze client. logalyze-cli is a powerful command line client for managing LOGalyze engine. With LOGalyze application log analyzer, you can collect your log data from any device, analyze, normalize and parse them. -
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Slogbase is a lightweight database attached to objects in Second Life that provides the same functionality as Apache Web Server logs. It uses ordinary LSL code in Second Life to send sensor data to an external PHP/MySQL application.
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Use python to parse privoxy log in clf format and refer to wot ratings of the site and then dump the data in a sqlite database for statistics generation later.
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PerfParse. Storage and analysis of binary performance data produced by Nagios. High quality accurate graphs of live data from standard Nagios plugins. Permanent history of plugin results with advanced analysis tools.
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Mindtree Insight
Log file parser and viewer
Insight, the analysis TechTool for developers is a platform independent tool for viewing & analying run time meta data of applications. It aids in trouble shooting problems, and aids the developer in every day work through very advanced log analysis. -
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...Application/middleware usage monitoring/reporting. Focus on business transactions/use cases to help communicate with users. Small footprint, easy to use GUI and a level of statistical analysis to summarise the data.
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Kojoney is an easy of use, secure, robust and powerfull Honeypot for the SSH Service written in Python. With the kojoney daemon are distributeds other tools such as kip2country (IP to Country) and kojreport, a tool to generate reports from the log fi
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The ProM Import Framework allows to extract process enactment event logs from a set of information systems. These can be exported in the MXML format, which is the standard event log data format for Process Mining analysis techniques.
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The EU Provenance project developed an architecture to document a data generating process in a distributed environment. The Python Client Side Library (CSL) enables the development of provenance-aware Python applications.
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Nuhe Client is a project related to the Nuhe Action Capable Log Monitor. This GUI client simplifies the administration of sensors and node managers, making it easier to control and monitor the network. Comes with a rule editor as well as a log monitor.
